Key policy mechanisms supporting the University–Industry collaboration in the Danube region: case study of academic HPC centres and SMEs

• Tamara Besednjak Valič ^[1] ; Janez Kolar ^[1] ; Urša Lamut ^[2] ; Alenka Pandiloska Jurak ^[1]
  1. [1] Rudolfovo Research Institute, Novo mesto, Slovenia
  2. [2] School of Advanced Social Studies in Nova Gorica, Slovenia
• Localización: European journal of management and business economics, ISSN-e 2444-8494, ISSN 2444-8451, Vol. 32, Nº. 5, 2023, págs. 509-524
• Idioma: inglés
• DOI: 10.1108/EJMBE-09-2022-0283
• Enlaces
  • Texto completo
• Resumen

  • Purpose This paper aims to explore the key anchors of the National Innovation System shaping the nature of collaboration between academic high-performance computing centres (academic HPC centres) and small- to medium-sized enterprises (SMEs) working in the automotive and electronics sectors of the Danube region. With two main research questions, it discusses the importance of knowledge transfer and technology transfer for collaboration between University and Industry (U-I collaboration) in three groups of developmentally distinct countries: competitively advanced, competitively intermediate and competitively lagging. As main anchors of the innovation system, stable legal environment, exciting innovation policies and strong R&D funding are recognised.

    Design/methodology/approach A qualitative empirical study in 14 Danube region countries included 92 focus group participants, expert representatives of academic HPC centres and SMEs. The data were audio recorded, transcribed and analysed.

    Findings The findings show the main prerequisites of the framework conditions for efficient U-I collaboration evolve through a goal-oriented National Innovation Policy and developed and functioning legal environment supporting labour market and intellectual property (IP) protection and enforcement. Additionally, skilled people are needed to be able to operate with HPC, where it seems all the countries lack such skilled workforce. In competitively lagging countries, the high levels of brain drain exhibit strong impact to U-I collaboration.

    Research limitations/implications Research into relationships between academic HPC centres and SMEs conducted was qualitative; therefore, limitations in terms of generalisation arise from it. On the other hand, the research is promising in terms of offering the guidance for policy makers who can use the findings when delivering innovation policy mix, adjusted to developmental level of own innovation ecosystem.

    Originality/value The study is among the pioneering work in U-I collaboration between academic HPC centres and SMEs from automotive and electronics industries in the Danube region. The research addresses the dynamics of collaboration and offers policy implications to strengthen the particular U-I collaboration.

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